The Predictive Value of TyG Index and NLR for Risk of CHD and the Severity of Coronary Artery Lesions in Patients with Type 2 Diabetes Mellitus

TyG 指数和 NLR 对 2 型糖尿病患者冠心病风险和冠状动脉病变严重程度的预测价值

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Abstract

BACKGROUND: There is a paucity of research examining the Triglyceride-glucose (TyG) index and Neutrophil-to-lymphocyte ratio (NLR) in relation to the onset and severity of coronary heart disease (CHD) in individuals with type 2 diabetes mellitus (T2DM). This study aims to explore the relationship between these biomarkers and the risk of CHD in T2DM patients and clarify their association with the CHD severity. METHODS: A total of 518 patients with T2DM who underwent coronary angiography (CAG) were included and categorized into either the T2DM group or the T2DM combined with CHD group based on the angiographic findings. The association of the TyG index and NLR with CHD and its severity were validated by logistic regression analyses. The predictive efficacy of both biomarkers, individually and in combination, for CHD was evaluated using receiver operating characteristic (ROC) curves. RESULTS: Among the 518 patients with T2DM, 396 individuals were identified as having a combination of CHD of varying severity. Multifactorial logistic regression analysis showed that after adjusting for age, sex, smoking, hypertension, and history use of glucose- and lipid-lowering medications, both TyG index and NLR were risk factors for CHD in T2DM patients (TyG index: OR:3.89, 95% CI:2.60-5.82; NLR: OR:1.44, 95% CI:1.22-1.71; all P<0.05). The odds ratios(OR) for the highest tertile compared to the lowest tertile of TyG index and NLR were 3.61(95% CI:2.41-5.40) and 1.62(95% CI:1.25-2.09).The TyG index exhibited a significant correlation with CHD severity in T2DM patients (OR:2.96, 95% CI:1.19-7.32; P=0.019). The areas under the curve for TyG index and NLR alone, and in combination, to predict CHD were 0.717, 0.692, and 0.761, respectively (all P<0.001). CONCLUSION: The TyG index and NLR were significantly associated with the occurrence of CHD in the T2DM population. The combined use of these two biomarkers enhances diagnostic accuracy, which is beneficial for the prevention of CHD.

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